Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Daisy Yi Ding"'
Autor:
Ahmet Gorkem Er, Daisy Yi Ding, Berrin Er, Mertcan Uzun, Mehmet Cakmak, Christoph Sadee, Gamze Durhan, Mustafa Nasuh Ozmen, Mine Durusu Tanriover, Arzu Topeli, Yesim Aydin Son, Robert Tibshirani, Serhat Unal, Olivier Gevaert
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-11 (2024)
Abstract Through technological innovations, patient cohorts can be examined from multiple views with high-dimensional, multiscale biomedical data to classify clinical phenotypes and predict outcomes. Here, we aim to present our approach for analyzing
Externí odkaz:
https://doaj.org/article/60405c4434f3445781f9660de29169a1
Autor:
Siri H Strand, Belén Rivero-Gutiérrez, Kathleen E Houlahan, Jose A Seoane, Lorraine M King, Tyler Risom, Lunden Simpson, Sujay Vennam, Aziz Khan, Timothy Hardman, Bryan E Harmon, Fergus J Couch, Kristalyn Gallagher, Mark Kilgore, Shi Wei, Angela DeMichele, Tari King, Priscilla F McAuliffe, Julie Nangia, Joanna Lee, Jennifer Tseng, Anna Maria Storniolo, Alastair Thompson, Gaorav Gupta, Robyn Burns, Deborah J Veis, Katherine DeSchryver, Chunfang Zhu, Magdalena Matusiak, Jason Wang, Shirley X Zhu, Jen Tappenden, Daisy Yi Ding, Dadong Zhang, Jingqin Luo, Shu Jiang, Sushama Varma, Cody Straub, Sucheta Srivastava, Christina Curtis, Rob Tibshirani, Robert Michael Angelo, Allison Hall, Kouros Owzar, Kornelia Polyak, Carlo Maley, Jeffrey R Marks, Graham A Colditz, E Shelley Hwang, Robert B West
Publikováno v:
Cancer Research. 82:GS4-07
Background. DCIS consists of a molecularly heterogeneous group of premalignant lesions, with variable risk of invasive progression. Understanding biomarkers for invasive progression could help individualize treatment recommendations based upon tumor
Autor:
Siri H. Strand, Belén Rivero-Gutiérrez, Kathleen E. Houlahan, Jose A. Seoane, Lorraine M. King, Tyler Risom, Lunden A. Simpson, Sujay Vennam, Aziz Khan, Luis Cisneros, Timothy Hardman, Bryan Harmon, Fergus Couch, Kristalyn Gallagher, Mark Kilgore, Shi Wei, Angela DeMichele, Tari King, Priscilla F. McAuliffe, Julie Nangia, Joanna Lee, Jennifer Tseng, Anna Maria Storniolo, Alastair M. Thompson, Gaorav P. Gupta, Robyn Burns, Deborah J. Veis, Katherine DeSchryver, Chunfang Zhu, Magdalena Matusiak, Jason Wang, Shirley X. Zhu, Jen Tappenden, Daisy Yi Ding, Dadong Zhang, Jingqin Luo, Shu Jiang, Sushama Varma, Lauren Anderson, Cody Straub, Sucheta Srivastava, Christina Curtis, Rob Tibshirani, Robert Michael Angelo, Allison Hall, Kouros Owzar, Kornelia Polyak, Carlo Maley, Jeffrey R. Marks, Graham A. Colditz, E. Shelley Hwang, Robert B. West
Publikováno v:
Scientia
Strand, S H, Rivero-Gutiérrez, B, Houlahan, K E, Seoane, J A, King, L M, Risom, T, Simpson, L A, Vennam, S, Khan, A, Cisneros, L, Hardman, T, Harmon, B, Couch, F, Gallagher, K, Kilgore, M, Wei, S, DeMichele, A, King, T, McAuliffe, P F, Nangia, J, Lee, J, Tseng, J, Storniolo, A M, Thompson, A M, Gupta, G P, Burns, R, Veis, D J, DeSchryver, K, Zhu, C, Matusiak, M, Wang, J, Zhu, S X, Tappenden, J, Ding, D Y, Zhang, D, Luo, J, Jiang, S, Varma, S, Anderson, L, Straub, C, Srivastava, S, Curtis, C, Tibshirani, R, Angelo, R M, Hall, A, Owzar, K, Polyak, K, Maley, C, Marks, J R, Colditz, G A, Hwang, E S & West, R B 2022, ' Molecular classification and biomarkers of clinical outcome in breast ductal carcinoma in situ : Analysis of TBCRC 038 and RAHBT cohorts ', Cancer Cell, vol. 40, no. 12, pp. 1521-1536.e7 . https://doi.org/10.1016/j.ccell.2022.10.021
Strand, S H, Rivero-Gutiérrez, B, Houlahan, K E, Seoane, J A, King, L M, Risom, T, Simpson, L A, Vennam, S, Khan, A, Cisneros, L, Hardman, T, Harmon, B, Couch, F, Gallagher, K, Kilgore, M, Wei, S, DeMichele, A, King, T, McAuliffe, P F, Nangia, J, Lee, J, Tseng, J, Storniolo, A M, Thompson, A M, Gupta, G P, Burns, R, Veis, D J, DeSchryver, K, Zhu, C, Matusiak, M, Wang, J, Zhu, S X, Tappenden, J, Ding, D Y, Zhang, D, Luo, J, Jiang, S, Varma, S, Anderson, L, Straub, C, Srivastava, S, Curtis, C, Tibshirani, R, Angelo, R M, Hall, A, Owzar, K, Polyak, K, Maley, C, Marks, J R, Colditz, G A, Hwang, E S & West, R B 2022, ' Molecular classification and biomarkers of clinical outcome in breast ductal carcinoma in situ : Analysis of TBCRC 038 and RAHBT cohorts ', Cancer Cell, vol. 40, no. 12, pp. 1521-1536.e7 . https://doi.org/10.1016/j.ccell.2022.10.021
Ductal carcinoma in situ; Tumor microenvironment; Whole genome sequencing Carcinoma ductal in situ; Microambiente tumoral; Secuenciación del genoma completo Carcinoma ductal in situ; Microambient tumoral; Seqüenciació del genoma complet Ductal car
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab5ce28cf6c965de1e61deadc35a7264
https://hdl.handle.net/11351/8732
https://hdl.handle.net/11351/8732
Autor:
Chunfang Zhu, Siri H Strand, Daisy Yi Ding, Kristalyn K. Gallagher, Jose A. Seoane, Lunden A Simpson, Luis Cisneros, Allison Hall, Kornelia Polyak, Belén Rivero-Gutiérrez, Sucheta Srivastava, Kathleen E. Houlahan, Shirley Zhu, Cody Straub, Aziz Khan, Dadong Zhang, Magdalena Matusiak, Deborah J. Veis, Alastair M. Thompson, Mark R. Kilgore, Julie R. Nangia, Jeffrey R. Marks, Jennifer F. Tseng, Robert B. West, Timothy Hardman, Angela DeMichele, Graham A. Colditz, Anna Maria Storniolo, Tari King, Kouros Owzar, Jen Tappenden, E. Shelley Hwang, Robert M. Angelo, Joanna Lee, Shu Jiang, Sushama Varma, Carlo C. Maley, Priscilla F. McAuliffe, Lauren Anderson, Shi Wei, Katherine DeSchryver, Robert Tibshirani, Robyn Burns, Gaorav P. Gupta, Sujay Vennam, Bryan Harmon, Lorraine M. King, Christina Curtis, Jason K. Wang, Jingqin Luo, Tyler Risom, Fergus J. Couch
SUMMARYDuctal carcinoma in situ (DCIS) is the most common precursor of invasive breast cancer (IBC), with variable propensity for progression. We have performed the first multiscale, integrated profiling of DCIS with clinical outcomes by analyzing 67
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d756705ca8fdb45c948c692a33a65913
https://doi.org/10.1101/2021.06.16.448585
https://doi.org/10.1101/2021.06.16.448585
Autor:
Siri H Strand, Daisy Yi Ding, Gaorav P. Gupta, Belén Rivero-Gutiérrez, Bryan Harmon, Allison Hall, Kristalyn K. Gallagher, Kornelia Polyak, Lauren Anderson, Gabrielle B. Rocque, Robyn Burns, Jose A. Seoane, Lunden A Simpson, Katherine DeSchryver, Luis Cisneros, Tari King, Shu Jiang, Deborah J. Veis, Julie R. Nangia, Robert Tibshirani, Jeffrey R. Marks, Alastair M. Thompson, Robert B. West, Chunfang Zhu, Jason K. Wang, Ana Maria Storniolo, Priscilla F. McAuliffe, Jingqin Luo, Jennifer F. Tseng, Graham A. Colditz, E. Shelley Hwang, Cody Straub, Joanna Lee, Sujay Vennam, Dadong Zhang, Shirley Zhu, Lorraine M. King, Sushama Varma, Mark R. Kilgore, Timothy Hardman, Jen Tappenden, Angela DeMichele, Christina Curtis, Kouros Owzar, Robert M. Angelo, Magdalena Matusiak, Carlo C. Maley, Sucheta Srivastava, Kathleen E. Houlahan, Fergus J. Couch, Tyler Risom, Aziz Kahn
Publikováno v:
SSRN Electronic Journal.
Ductal carcinoma in situ (DCIS) is the most commonly diagnosed precursor of invasive breast cancer (IBC), with variable propensity for progression. We have performed the first multiscale, integrated profiling of DCIS with clinical outcomes to identif
We propose a method for supervised learning with multiple sets of features (“views”). The multiview problem is especially important in biology and medicine, where “-omics” data, such as genomics, proteomics, and radiomics, are measured on a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9a7aab3e0fd62bb2830fd7f07f040ba
Publikováno v:
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
PSB
PSB
Electronic phenotyping is the task of ascertaining whether an individual has a medical condition of interest by analyzing their medical record and is foundational in clinical informatics. Increasingly, electronic phenotyping is performed via supervis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f06b4b5b779592a5037f241e25695ae1
Publikováno v:
Louhi@EMNLP
The Impression section of a radiology report summarizes crucial radiology findings in natural language and plays a central role in communicating these findings to physicians. However, the process of generating impressions by summarizing findings is t